## Changelog since v1.24.8

## Changes by Kind

### Feature

from tests.utils import needs_py310


def clear_sqlmodel():
    # Clear the tables in the metadata for the default base model
    SQLModel.metadata.clear()
    # Clear the Models associated with the registry, to avoid warnings
    default_registry.dispose()


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial001_py39"),
        pytest.param("tutorial001_py310", marks=needs_py310),

    checkNotNull(file);
    checkNotNull(mode);

    Closer closer = Closer.create();
    try {
      RandomAccessFile raf =
          closer.register(new RandomAccessFile(file, mode == MapMode.READ_ONLY ? "r" : "rw"));
      FileChannel channel = closer.register(raf.getChannel());
      return channel.map(mode, 0, size == -1 ? channel.size() : size);
    } catch (Throwable e) {
      throw closer.rethrow(e);
    } finally {

import java.util.concurrent.atomic.AtomicLong;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * RDMA buffer manager for efficient memory region pooling.
 *
 * Manages pools of pre-registered memory regions to avoid the overhead
 * of frequent registration/deregistration during RDMA operations.
 */
public class RdmaBufferManager implements AutoCloseable {

- Fix the description of command line flags that can override --config ([#98786](https://github.com/kubernetes/kubernetes/pull/98786), [@changshuchao](https://github.com/changshuchao)) [SIG Scheduling]
- Fix the panic when kubelet registers if a node object already exists with no Status.Capacity or Status.Allocatable ([#97803](https://github.com/kubernetes/kubernetes/pull/97803), [@TeddyAndrieux](https://github.com/TeddyAndrieux)) [SIG Node]

setattr(_current_module, "initializers", _initializers)


# Do an eager load for Keras' code so that any function/method that needs to
# happen at load time will trigger, eg registration of optimizers in the
# SavedModel registry.
# See b/196254385 for more details.
try:
  if _tf_uses_legacy_keras:
    importlib.import_module("tf_keras.src.optimizers")
  else:
    importlib.import_module("keras.src.optimizers")

be manually detached first or the pods referencing it deleted (which would
trigger automatic volume detach).
  * In very large clusters it may happen that a few nodes won’t register in API
server in a given timeframe for whatever reasons (networking issue, machine
failure, etc.). Normally when kube-up script will encounter even one NotReady

	endpoint.PoolIdx = 0
	endpoint.SetIdx = 0
	endpoint.DiskIdx = 0

	poolEps := []PoolEndpoints{{
		Endpoints: Endpoints{endpoint},
	}}
	poolEps[0].SetCount = 1
	poolEps[0].DrivesPerSet = 1

	// Register handlers on newly created servers
	registerStorageRESTHandlers(tg.Mux[0], poolEps, tg.Managers[0])
	registerStorageRESTHandlers(tg.Mux[1], poolEps, tg.Managers[1])

	storage := globalLocalSetDrives[0][0][0]

import java.util.Queue;
import java.util.concurrent.Executor;
import java.util.logging.Level;

/**
 * A list of listeners for implementing a concurrency friendly observable object.
 *
 * <p>Listeners are registered once via {@link #addListener} and then may be invoked by {@linkplain
 * #enqueue enqueueing} and then {@linkplain #dispatch dispatching} events.
 *

  /**
   * Map generator that verifies that {@code setUp()} methods are called in all the test cases. The
   * {@code setUpRan} parameter is set true by the {@code setUp} that every test case is supposed to
   * have registered, and set false by the {@code tearDown}. We use a dynamic proxy to intercept all
   * of the {@code Map} method calls and check that {@code setUpRan} is true.
   */